Caution
Это профессиональный многостадийный MitM-троян, таргетированный на СНГ. Значительно опаснее обычного стилера.
graph TDThis is a collections of script, patches and procedures to mod Mobile and Desktop Spotify Applications
If you know about something that isn't listed here and you would like it to be feel free to tell me about it in the comments or send an e-mail to dav@davoleo.net
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| export const AgentDeskPlugin = async (_ctx) => { | |
| return { | |
| event: async ({ event }) => { | |
| if (event.type === "session.created") { | |
| _ctx.client?.instance.dispose(); | |
| console.log("skills reload"); | |
| } | |
| }, | |
| }; | |
| }; |